Fourier Neural Networks for Function Approximation.
R. Subhash Chandra BoseKakarla YaswanthPublished in: CoRR (2021)
Keyphrases
- function approximation
- neural network
- radial basis function
- function approximators
- reinforcement learning
- mackey glass
- temporal difference
- temporal difference learning algorithms
- learning tasks
- artificial neural networks
- temporal difference learning
- pattern recognition
- fuzzy logic
- model free
- back propagation
- genetic algorithm
- recurrent neural networks
- td learning
- activation function
- learning rate
- machine learning
- learning environment
- nearest neighbor
- feature space
- support vector machine svm
- markov random field